2019/09/28 by Shahin Tasoujian, Karolos Grigoriadis, Tasoujian, Shahin +3
Medicine · Neuroscience · #Anesthesia and Neurotoxicity Research #FOS: Electrical engineering #Nitric Oxide and Endothelin Effects #Systems and Control (eess.SY) #Traumatic Brain Injury and Neurovascular Disturbances #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1910.01020
openalex publication_date 2019/09/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents a delay-dependent parameter-varying control design\napproach to address the automated blood pressure regulation problem in the\ncritical patient resuscitation using closed-loop administration of\nvasopressors. The mean arterial pressure (MAP) response of a patient subject to\nthe intravenous vasoactive drug treatment is modeled as a linear\nparameter-varying (LPV) model, where varying model parameters and varying\ntime-delay are considered as scheduling parameters of the system.\nParameter-dependent Lyapunov-Krasovskii functionals are used to design an\noutput-feedback dynamic controller to satisfy the closed-loop stability and\nreference MAP tracking requirements. The synthesis conditions are formulated in\nterms of Linear Matrix Inequalities (LMIs) that characterize the induced\n\L2-norm performance specification of the closed-loop system. The\nmain objectives of the proposed control method in the presence of limitations\nposed by the time-varying model parameters and the large time-varying delay are\nto track the MAP reference command and maintain the blood pressure within the\npermissible range of commanded set-point, avoid undesirable overshoot and slow\nresponse, and to provide a smooth drug injection. Finally, to evaluate the\nperformance of the proposed LPV blood pressure regulation approach, closed-loop\nsimulations are conducted and the results confirm the effectiveness of the\nproposed control method against various simulated scenarios.\n